Volatile organic compounds analysis as promising biomarkers for Parkinson's disease diagnosis: A systematic review and meta-analysis.

Autor: Habibzadeh A; Student Research Committee, Fasa University of Medical Sciences, Fasa, Iran; USERN Office, Fasa University of Medical Sciences, Fasa, Iran., Ostovan VR; Clinical Neurology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran., Keshavarzian O; School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran., Kardeh S; Central Clinical School, Monash University, Melbourne, Australia., Mahmoudi SS; Student Research Committee, Department of Neurosurgery, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran., Zakeri MR; Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran., Tabrizi R; USERN Office, Fasa University of Medical Sciences, Fasa, Iran; Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran; Clinical Research Development Unit, Valiasr Hospital, Fasa University of Medical Sciences, Fasa, Iran. Electronic address: kmsrc89@gmail.com.
Jazyk: angličtina
Zdroj: Clinical neurology and neurosurgery [Clin Neurol Neurosurg] 2023 Dec; Vol. 235, pp. 108022. Date of Electronic Publication: 2023 Oct 28.
DOI: 10.1016/j.clineuro.2023.108022
Abstrakt: Objective: Researchers are investigating the potential of volatile organic compounds (VOCs) obtained from exhaled breath and sebum as non-invasive tools for early Parkinson's disease (PD) diagnosis. The present study aims to assess the feasibility of using VOC analysis for PD diagnosis and determine the overall diagnostic accuracy of the proposed tests.
Methods: We performed systematic searches based on the PRISMA guidelines to identify relevant studies on VOCs in PD diagnosis using exhaled breath or sebum samples. The selected articles were described, and meta-analysis was conducted on those that provided the sensitivity and specificity data.
Results: Out of 1268 articles initially identified, 8 met the inclusion criteria and provided specific sensitivity and specificity data for PD, which were included in the current meta-analysis. The pooled analysis of these findings showed a mean area under the receiver operating characteristic curve of 0.85, a sensitivity of 0.81 (95% confidence interval (CI): 0.72, 0.88), and a specificity of 0.76 (95% CI: 0.66, 0.84).
Conclusion: The analysis of VOCs in exhaled breath and sebum has shown promise as a new avenue for non-invasive diagnosis of PD. VOCs' ability to distinguish PD from healthy controls suggests their potential clinical application in screening for the disease. Consequently, VOCs hold significant potential as biomarkers for PD diagnosis and offer a promising novel approach to identifying and diagnosing the condition.
Competing Interests: Declaration of Competing Interest The authors declare that there is no conflict of interest.
(Copyright © 2023 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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